Results 11 to 20 of about 688,609 (284)
Joint lifetime modeling with matrix distributions
Dependence Modeling, 2023 Acyclic phase-type (PH) distributions have been a popular tool in survival analysis, thanks to their natural interpretation in terms of aging toward its inevitable absorption.
Albrecher Hansjörg +2 more
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flexCWM: A Flexible Framework for Cluster-Weighted Models
Journal of Statistical Software, 2018 Cluster-weighted models (CWMs) are mixtures of regression models with random covariates. However, besides having recently become rather popular in statistics and data mining, there is still a lack of support for CWMs within the most popular statistical ...
Angelo Mazza +2 more
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Variable selection in finite mixture of median regression models using skew-normal distribution
Statistical Theory and Related Fields, 2023 A regression model with skew-normal errors provides a useful extension for traditional normal regression models when the data involve asymmetric outcomes.
Xin Zeng, Yuanyuan Ju, Liucang Wu
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logbin: An R Package for Relative Risk Regression Using the Log-Binomial Model
Journal of Statistical Software, 2018 Relative risk regression using a log-link binomial generalized linear model (GLM) is an important tool for the analysis of binary outcomes. However, Fisher scoring, which is the standard method for fitting GLMs in statistical software, may have ...
Mark W. Donoghoe, Ian C. Marschner
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Analogy-Based Approaches to Improve Software Project Effort Estimation Accuracy
Journal of Intelligent Systems, 2019 In the discipline of software development, effort estimation renders a pivotal role. For the successful development of the project, an unambiguous estimation is necessitated.
Resmi V, Vijayalakshmi S
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Determination of Load Equivalency Factors by Statistical Analysis of Weigh-In-Motion Data
The Baltic Journal of Road and Bridge Engineering, 2016 The load equivalency factors for pavement design currently in use by the Hungarian standard have been developed using Weigh-in-Motion data obtained during the first few years of operations after installing some 30 measuring sites in Hungary in 1996.
Zoltán Soós, Csaba Tóth, Dávid Bóka
doaj +1 more source
A probabilistic analysis of a leader election algorithm [PDF]
, 2006 A {\em leader election} algorithm is an elimination process that divides recursively into tow subgroups an initial group of n items, eliminates one subgroup and continues the procedure until a subgroup is of size 1.
Mohamed, Hanene
core +5 more sources
Spatially multi-scale dynamic factor modeling via sparse estimation
International Journal of Mathematics for Industry, 2019 In many spatio-temporal data, their spatial variations have inherent global and local structures. The spatially continuous dynamic factor model (SCDFM) decomposes the spatio-temporal data into a small number of spatial and temporal variations, where the ...
Takamitsu Araki, Shotaro Akaho
doaj +1 more source
Risks, 2020 This article presents the Poisson-Inverse Gamma regression model with varying dispersion for approximating heavy-tailed and overdispersed claim counts. Our main contribution is that we develop an Expectation-Maximization (EM) type algorithm for maximum ...
George Tzougas
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Cross-coupled doa trackers [PDF]
, 1997 A new robust, low complexity algorithm for multiuser tracking is proposed, modifying the two-stage parallel architecture of the estimate-maximize (EM) algorithm.
Kirlin, R L +2 more
core +2 more sources